2015 APHA Annual Meeting & Expo

Home Events & Meetings Annual Meeting Schedule & Program

Recorded Annual Meeting Presentations (RAMP) are now available for purchase.
Only $90 for presenters, $140 for registered attendees and $200 for non-attendees.

Online Program

317965
Implement the inclusion of a linked Medical Organizations Survey in the Medical Expenditure Panel Survey


Monday, November 2, 2015 : 3:30 p.m. - 3:50 p.m.

Steven B. Cohen, PhD, Division of Statistical and Data Sciences, RTI International, Washington, DC
Audio (mp3) recording Recorded Presentation (mp4)
Recent changes in the provision and organization of health care, designed to increase insurance coverage and promote the efficient delivery of care, have led to concerns about how these changes interact with the medical provider organizational characteristics to affect access, use, and expenditures for care. To examine the impact of this phenomenon on individuals use of care and costs, linked information is needed on both the characteristics of the medical providers organizations and the individuals receiving care. There is currently no nationally representative data source that provides this essential information. Consequently, Medical Organizations Survey (MOS) is being added as a component of the Medical Expenditure Panel Survey (MEPS) to address this limitation. The MEPS-MOS will obtain essential data on provider organizational characteristics, policies, and treatment protocols for a nationally representative sample of physicians providing care to MEPS participants. This presentation with describe the survey and sample design of the MEPS-MOS, the survey content and precision targets and its analytical focus. This addition will substantially enhance the analytic capacity of the MEPS by facilitating assessments of the extent to which provider organizational structures and policies have impacts on health care utilization and expenditures, health status, patient safety and the health outcomes of individuals. The data collection strategy has benefitted by the results of a field test to administer a draft survey instrument. Attention will also be given to describe how resultant data will be merged with the MEPS household data and estimation strategies to support enhanced MEPS person level analyses.

Learning Areas:

Biostatistics, economics
Provision of health care to the public
Public health or related research

Learning Objectives:
Identify the survey, statistical and analytic design and content of the MEPS Medical Organization Survey to enhance its analytical capacity to assess the impact of changes in the health care delivery system. Participants in the session will acquire information and perspectives regarding the capacity of the Medical Expenditure Panel Survey (MEPS) to permit analyses of the U.S. health care system including the impact of the organizational characteristics of the medical providers that treat patients on health care access, utilization, health care costs, and health care quality.

Keyword(s): Survey, Health Care Delivery

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I direct a research Center and provide oversight on descriptive and behavioral analyses of the population's access to, use of, expenditures and sources of payment for health care; the role of health status coverage on health care use, expenditures; the conduct of studies on statistical methods and the use of statistics in survey design in health services research. I direct the Center’s administration of surveys and the development of large primary data sets, including MEPS.
Any relevant financial relationships? Yes

Name of Organization Clinical/Research Area Type of relationship
Robert Wood Johnson Foundation Health services Unpaid principal investigator

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.

Back to: 3338.0: Advanced Issues in Health Policy Study Design and Analysis